The iridescent surface inside a red abalone shell from Northern California (the adjacent coin is 25 mm in diameter) (Source: https://en.wikipedia.org/wiki/Abalone)

Introduction

Abalone is a common name for any of a group of small to very large sea snails, marine gastropod molluscs in the family Haliotidae.

Other common names are ear shells, sea ears, and, rarely, muttonfish or muttonshells in parts of Australia, ormer in the UK, perlemoen in South Africa, and the Maori name for three species in New Zealand is pāua.

Abalone are marine snails. Their taxonomy puts them in the family Haliotidae, which contains only one genus, Haliotis, which once contained six subgenera. These subgenera have become alternate representations of Haliotis.The number of species recognized worldwide ranges between 30…


Introduction

Linear models are a class of models that are widely used in practice and have been studied extensively in the last few decades, with roots going back over a hundred years. Linear models make a prediction using a linear function of the input features.

Linear models are also extensively used for classification. One form of linear model for classification that is most often used is logistic regression.

Logistic regression is another technique borrowed by machine learning from the field of statistics. It is the go-to method for binary classification problems (problems with two class values).

In this paper, we will…


Prediction with Gradient Descent and Normal Equation

Linear regression is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y). More specifically, that y can be calculated from a linear combination of the input variables (x).

In this paper, we will fit the linear regression parameters θ to our dataset using gradient descent.

The dataset was taken from here

First, let’s import the libraries we need

We take a look at the data


Classification With Logistic Regression and Support Vector Machine

Cervical cancer (Ca Cervix) is a serious public health problem in women in the world. Fortunately, this disease can be prevented. Current prevention methods are still low both in terms of outcomes and participation. So, methods of prevention or early detection are still open and challenging. Behavior and its determinants are promising as predictors of Ca Cervix and early detection.

On this occasion, we will try to classify those related to cervical cancer using the Logistic Regression and Support Vector Machine Classifier

About the Dataset

The dataset we use comes from https://archive.ics.uci.edu/ml/datasets/Cervical+Cancer+Behavior+Risk.

The dataset contains 19 attributes regarding ca cervix behavior risk with…


MEMPREDIKSI KELEMBABAN RELATIF

Pada lab ini, kita akan mencoba membuat model yang cocok untuk memprediksi kelembaban relatif pada sebuah pengukuran kualitas udara. Kita akan membuat model tersebut berdasarkan kandungan zat kimia terukur, suhu dan kelembaban mutlak.

Data yang akan kita gunakan berasal dari website https://archive.ics.uci.edu/ml/datasets/Air+Quality.

Kita akan menggunakan Python beserta paket-paketnya untuk melakukan prediksi ini.

Tujuan

Menentukan model yang cocok untuk memprediksi kelembaban relatif pada kualitas udara

Tentang Dataset

Dataset berisi 9358 contoh respons rata-rata setiap jam dari rangkaian 5 sensor kimia oksida logam yang tertanam dalam Perangkat Multisensor Kimia Kualitas Udara. …

Dimas Buntarto

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